code: def validate(self, model: torch.fx.GraphModule) -> None:
      pass
  
file_path: pytorch/torch/ao/quantization/quantizer/embedding_quantizer.py
imports: from __future__ import annotations
  import copy
  from typing import List, Set
  import torch
  import torch.nn.functional
  from torch.ao.quantization.observer import PerChannelMinMaxObserver
  from torch.ao.quantization.quantizer.quantizer import QuantizationAnnotation, QuantizationSpec, Quantizer
  from torch.ao.quantization.quantizer.xnnpack_quantizer_utils import OperatorConfig, OperatorPatternType, QuantizationConfig
label_desc: Use image node_id 6 for calling the EmbeddingQuantizer obj's underlying member method code with example usage: obj.validate(model) without return types